Two-phase approach for deblurring images corrupted by impulse plus gaussian noise
暂无分享,去创建一个
[1] A. N. Tikhonov,et al. Solutions of ill-posed problems , 1977 .
[2] Andrew Blake,et al. Visual Reconstruction , 1987, Deep Learning for EEG-Based Brain–Computer Interfaces.
[3] C. Vogel. Computational Methods for Inverse Problems , 1987 .
[4] A. Tarantola. Inverse problem theory : methods for data fitting and model parameter estimation , 1987 .
[5] Guy Demoment,et al. Image reconstruction and restoration: overview of common estimation structures and problems , 1989, IEEE Trans. Acoust. Speech Signal Process..
[6] D. Mumford,et al. Optimal approximations by piecewise smooth functions and associated variational problems , 1989 .
[7] L. Ambrosio,et al. Approximation of functional depending on jumps by elliptic functional via t-convergence , 1990 .
[8] Sung-Jea Ko,et al. Center weighted median filters and their applications to image enhancement , 1991 .
[9] L. Rudin,et al. Nonlinear total variation based noise removal algorithms , 1992 .
[10] Donald Geman,et al. Constrained Restoration and the Recovery of Discontinuities , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[11] Kenneth E. Barner,et al. Rank conditioned rank selection filters for signal restoration , 1994, IEEE Trans. Image Process..
[12] Donald Geman,et al. Nonlinear image recovery with half-quadratic regularization , 1995, IEEE Trans. Image Process..
[13] Richard A. Haddad,et al. Adaptive median filters: new algorithms and results , 1995, IEEE Trans. Image Process..
[14] Michel Barlaud,et al. Deterministic edge-preserving regularization in computed imaging , 1997, IEEE Trans. Image Process..
[15] J. Astola,et al. Fundamentals of Nonlinear Digital Filtering , 1997 .
[16] Jerry D. Gibson,et al. Handbook of Image and Video Processing , 2000 .
[17] A. Ben Hamza,et al. Image denoising: a nonlinear robust statistical approach , 2001, IEEE Trans. Signal Process..
[18] Gonzalo R. Arce,et al. Optimality of the myriad filter in practical impulsive-noise environments , 2001, IEEE Trans. Signal Process..
[19] Mila Nikolova,et al. Minimizers of Cost-Functions Involving Nonsmooth Data-Fidelity Terms. Application to the Processing of Outliers , 2002, SIAM J. Numer. Anal..
[20] Jianhong Shen,et al. Digital inpainting based on the Mumford–Shah–Euler image model , 2002, European Journal of Applied Mathematics.
[21] Mila Nikolova,et al. Regularizing Flows for Constrained Matrix-Valued Images , 2004, Journal of Mathematical Imaging and Vision.
[22] Chen Hu,et al. An iterative procedure for removing random-valued impulse noise , 2004, IEEE Signal Processing Letters.
[23] Nahum Kiryati,et al. Image Deblurring in the Presence of Salt-and-Pepper Noise , 2005, Scale-Space.
[24] Raymond H. Chan,et al. Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization , 2005, IEEE Transactions on Image Processing.
[25] Mila Nikolova,et al. Analysis of the Recovery of Edges in Images and Signals by Minimizing Nonconvex Regularized Least-Squares , 2005, Multiscale Model. Simul..
[26] Charles K. Chui,et al. A universal noise removal algorithm with an impulse detector , 2005, IEEE Transactions on Image Processing.
[27] Nahum Kiryati,et al. Image Deblurring in the Presence of Impulsive Noise , 2006, International Journal of Computer Vision.
[28] Nahum Kiryati,et al. Deblurring of Color Images Corrupted by Impulsive Noise , 2007, IEEE Transactions on Image Processing.
[29] Raymond H. Chan,et al. The Equivalence of Half-Quadratic Minimization and the Gradient Linearization Iteration , 2007, IEEE Transactions on Image Processing.
[30] A. Morelli. Inverse Problem Theory , 2010 .